Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features
Abstract Optimally preserved urinary exfoliated renal proximal tubule cells were assessed by multispectral imaging of cell autofluorescence. We demonstrated different multispectral autofluorescence signals in such cells extracted from the urine of patients with healthy or diseased kidneys. Using up...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-89758-4 |
| _version_ | 1818751886191230976 |
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| author | Saabah B. Mahbub Long T. Nguyen Abbas Habibalahi Jared M. Campbell Ayad G. Anwer Uzair M. Qadri Anthony Gill Angela Chou Muh Geot Wong Martin E. Gosnell Carol A. Pollock Sonia Saad Ewa M. Goldys |
| author_facet | Saabah B. Mahbub Long T. Nguyen Abbas Habibalahi Jared M. Campbell Ayad G. Anwer Uzair M. Qadri Anthony Gill Angela Chou Muh Geot Wong Martin E. Gosnell Carol A. Pollock Sonia Saad Ewa M. Goldys |
| author_sort | Saabah B. Mahbub |
| collection | DOAJ |
| description | Abstract Optimally preserved urinary exfoliated renal proximal tubule cells were assessed by multispectral imaging of cell autofluorescence. We demonstrated different multispectral autofluorescence signals in such cells extracted from the urine of patients with healthy or diseased kidneys. Using up to 10 features, we were able to differentiate cells from individuals with heathy kidneys and impaired renal function (indicated by estimated glomerular filtration rate (eGFR) values) with the receiver operating characteristic area under the curve (AUC) of 0.99. Using the same method, we were also able to discriminate such urine cells from patients with and without renal fibrosis on biopsy, where significant differences in multispectral autofluorescence signals (AUC = 0.90) were demonstrated between healthy and diseased patients (p < 0.05). These findings show that multispectral assessment of the cell autofluorescence in urine exfoliated proximal tubule kidney cells has the potential to be developed as a sensitive, non-invasive diagnostic method for CKD. |
| first_indexed | 2024-12-18T04:42:41Z |
| format | Article |
| id | doaj.art-5443aeae1749467793671f947216d1cc |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-18T04:42:41Z |
| publishDate | 2021-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-5443aeae1749467793671f947216d1cc2022-12-21T21:20:41ZengNature PortfolioScientific Reports2045-23222021-05-0111111010.1038/s41598-021-89758-4Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence featuresSaabah B. Mahbub0Long T. Nguyen1Abbas Habibalahi2Jared M. Campbell3Ayad G. Anwer4Uzair M. Qadri5Anthony Gill6Angela Chou7Muh Geot Wong8Martin E. Gosnell9Carol A. Pollock10Sonia Saad11Ewa M. Goldys12Graduate School of Biomedical Engineering, UNSW SydneyKolling Institute of Medical Research, Royal North Shore HospitalARC Centre of Excellence for Nanoscale Biophotonics, UNSW SydneyARC Centre of Excellence for Nanoscale Biophotonics, UNSW SydneyARC Centre of Excellence for Nanoscale Biophotonics, UNSW SydneySchool of Mathematical and Physical Sciences, Faculty of Science, University of TechnologyKolling Institute of Medical Research, Royal North Shore HospitalKolling Institute of Medical Research, Royal North Shore HospitalKolling Institute of Medical Research, Royal North Shore HospitalQuantitative Pty LtdKolling Institute of Medical Research, Royal North Shore HospitalKolling Institute of Medical Research, Royal North Shore HospitalGraduate School of Biomedical Engineering, UNSW SydneyAbstract Optimally preserved urinary exfoliated renal proximal tubule cells were assessed by multispectral imaging of cell autofluorescence. We demonstrated different multispectral autofluorescence signals in such cells extracted from the urine of patients with healthy or diseased kidneys. Using up to 10 features, we were able to differentiate cells from individuals with heathy kidneys and impaired renal function (indicated by estimated glomerular filtration rate (eGFR) values) with the receiver operating characteristic area under the curve (AUC) of 0.99. Using the same method, we were also able to discriminate such urine cells from patients with and without renal fibrosis on biopsy, where significant differences in multispectral autofluorescence signals (AUC = 0.90) were demonstrated between healthy and diseased patients (p < 0.05). These findings show that multispectral assessment of the cell autofluorescence in urine exfoliated proximal tubule kidney cells has the potential to be developed as a sensitive, non-invasive diagnostic method for CKD.https://doi.org/10.1038/s41598-021-89758-4 |
| spellingShingle | Saabah B. Mahbub Long T. Nguyen Abbas Habibalahi Jared M. Campbell Ayad G. Anwer Uzair M. Qadri Anthony Gill Angela Chou Muh Geot Wong Martin E. Gosnell Carol A. Pollock Sonia Saad Ewa M. Goldys Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features Scientific Reports |
| title | Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features |
| title_full | Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features |
| title_fullStr | Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features |
| title_full_unstemmed | Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features |
| title_short | Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features |
| title_sort | non invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features |
| url | https://doi.org/10.1038/s41598-021-89758-4 |
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